Through proven process, methodology and collaboration!
At airisDATA we enrich analytics to learn from data using machine learning to extract features, detect patterns, and make predictions. We architect interactive data mining, iterative algorithms, and streaming analytics using an in-memory cluster computing data stack and run numerous Proof of Concept applications and technology vetting in our extension in-house clusters.
We help clients leverage big data technologies such as Spark and Hadoop to discover new capabilities through deeper insight and analytics.
Our Process is agile, lean, and adaptive. We use iterative approaches to all deliverables and ensure you always are receiving the most current working releases.
Our Methodology in data solutions and machine learning is built on proven frameworks and industry best practices. Our data scientists and engineers work with Spark MLlib, H2O and other leading open source tools to produce the best insights and analytics for our clients.
Our Partners collaborate with us on solutions for clients that run on the state of the art scalable machine learning platforms of Hadoop and Spark. We work hand in hand with Databricks, Hortonworks and Cloudera.
Our Management provides a pro-active risk assessment and transparency to our stakeholders. We follow Lean Enterprise guidelines and work on iteratively with proper backing.